Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Performance evaluation of machine learning-based classification with rock-physics analysis of geological lithofacies in Tarakan Basin, Indonesia
Gian Antariksa, Radhi Muammar, Jihwan Lee
Journal of Petroleum Science and Engineering (2021) Vol. 208, pp. 109250-109250
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Data-driven lithofacies prediction in complex tight sandstone reservoirs: a supervised workflow integrating clustering and classification models
Muhammad Ali, Peimin Zhu, Ren Jiang, et al.
Geomechanics and Geophysics for Geo-Energy and Geo-Resources (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 19
Autonomous prediction of rock deformation in fault zones of coal roadways using supervised machine learning
Feng Guo, Nong Zhang, Xiaowei Feng, et al.
Tunnelling and Underground Space Technology (2024) Vol. 147, pp. 105724-105724
Closed Access | Times Cited: 12
Enhanced Fault Detection of Wind Turbine Using eXtreme Gradient Boosting Technique Based on Nonstationary Vibration Analysis
Ahmed Ali Farhan Ogaili, Mohsin Noori Hamzah, Alaa Abdulhady Jaber
Journal of Failure Analysis and Prevention (2024) Vol. 24, Iss. 2, pp. 877-895
Closed Access | Times Cited: 8
Data-driven machine learning approaches for precise lithofacies identification in complex geological environments
Muhammad Ali, Peimin Zhu, Huolin Ma, et al.
Geo-spatial Information Science (2024), pp. 1-21
Open Access | Times Cited: 6
Deep learning based lithology classification of drill core images
Dong Fu, Chao Su, Wenjun Wang, et al.
PLoS ONE (2022) Vol. 17, Iss. 7, pp. e0270826-e0270826
Open Access | Times Cited: 25
A comprehensive machine learning model for lithology identification while drilling
Qingfeng Li, Chi Peng, Jianhong Fu, et al.
Geoenergy Science and Engineering (2023) Vol. 231, pp. 212333-212333
Closed Access | Times Cited: 14
Value-aware meta-transfer learning and convolutional mask attention networks for reservoir identification with limited data
Bingyang Chen, Xingjie Zeng, Jiehan Zhou, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119912-119912
Closed Access | Times Cited: 13
A Transformer and LSTM-Based Approach for Blind Well Lithology Prediction
Danyan Xie, Zeyang Liu, Fuhao Wang, et al.
Symmetry (2024) Vol. 16, Iss. 5, pp. 616-616
Open Access | Times Cited: 4
Reservoir Porosity Interpretation Method and Application Based on Intelligent Algorithms
Tingting Wei, Jingling Xu, Lianteng Song, et al.
Geoenergy Science and Engineering (2025), pp. 213650-213650
Closed Access
Automated Scene-Adaptive Rock Fragment Recognition Based on the Enhanced Segment Anything Model and Fine-Tuning RTMDet
Yudi Tang, Yulin Wang, Xin Wang, et al.
Rock Mechanics and Rock Engineering (2025)
Open Access
Synthetic Graphic Well Log Generation Using an Enhanced Deep Learning Workflow: Imbalanced Multiclass Data, Sample Size, and Scalability Challenges
Mohammad Saleh Jamshidi Gohari, Mohammad Emami Niri, Saeid Sadeghnejad, et al.
SPE Journal (2023) Vol. 29, Iss. 01, pp. 1-20
Closed Access | Times Cited: 10
Identification of tight sandstone reservoir lithofacies based on CNN image recognition technology: A case study of Fuyu reservoir of Sanzhao Sag in Songliao Basin
Fang Liu, Xin Wang, Zongbao Liu, et al.
Geoenergy Science and Engineering (2023) Vol. 222, pp. 211459-211459
Closed Access | Times Cited: 9
Association and textural-compositional evolution of pyrite-organic matter in coals of the Tarakan, Barito, and Pasir Basins, Kalimantan, Indonesia
Aulia Agus Patria, Renaldi Suhendra, Ferian Anggara, et al.
International Journal of Coal Geology (2024) Vol. 282, pp. 104442-104442
Closed Access | Times Cited: 3
Data-Driven Classification and Logging Prediction of Mudrock Lithofacies Using Machine Learning: Shale Oil Reservoirs in the Eocene Shahejie Formation, Bonan Sag, Bohai Bay Basin, Eastern China
Qiuhong Chang, Zhuang Ruan, Bingsong Yu, et al.
Minerals (2024) Vol. 14, Iss. 4, pp. 370-370
Open Access | Times Cited: 3
Complementary testing and machine learning techniques for the characterization and prediction of middle Permian tight gas sandstone reservoir quality in the northeastern Ordos Basin, China
Ziyi Wang, Shuangfang Lu, Nengwu Zhou, et al.
Petroleum Science (2024) Vol. 21, Iss. 5, pp. 2946-2968
Open Access | Times Cited: 3
Logging curve prediction method based on CNN-LSTM-attention
Mingjiang Shi, Bohan Yang, Rui Chen, et al.
Earth Science Informatics (2022) Vol. 15, Iss. 4, pp. 2119-2131
Closed Access | Times Cited: 15
Comparative analysis of 3D reservoir geologic modeling: A comprehensive review and perspectives
Lingfeng Zhao, Chenlin Hu, Jonathan Atuquaye Quaye, et al.
Geoenergy Science and Engineering (2024), pp. 213440-213440
Closed Access | Times Cited: 2
RockDNet: Deep Learning Approach for Lithology Classification
Mohammed A. M. Abdullah, Ahmed Mohammed, Sohaib R. Awad
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5511-5511
Open Access | Times Cited: 2
Identification of lithofacies and prediction of mineral composition in shales – A case study of the Shahejie Formation in the Bozhong Sag
Qinyu Cui, Haifeng Yang, Xinqi Li, et al.
Unconventional Resources (2022) Vol. 2, pp. 72-84
Open Access | Times Cited: 10
Adaptive spatiotemporal neural networks based on machine learning for missing well-log prediction
Bingyang Chen, Xingjie Zeng, Lulu Fan, et al.
Geophysics (2023) Vol. 88, Iss. 6, pp. V431-V443
Closed Access | Times Cited: 5
Local mean imputation for handling missing value to provide more accurate facies classification
Felix Indra Kurniadi, Rian Cahya Rohmana, Leon Taufani
Procedia Computer Science (2023) Vol. 216, pp. 301-309
Open Access | Times Cited: 4
Decision Tree Ensembles for Automatic Identification of Lithology
Mahmoud Desouky, Abdullah Alqubalee, Ahmed Gowida
(2023)
Closed Access | Times Cited: 4
An ensemble-based machine learning solution for imbalanced multiclass dataset during lithology log generation
Mohammad Saleh Jamshidi Gohari, Mohammad Emami Niri, Saeid Sadeghnejad, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Rock Physical Modeling of Tight Sandstones Based on Digital Rocks and Reservoir Porosity Prediction From Seismic Data
Wei Guo, Chunmei Dong, Chengyan Lin, et al.
Frontiers in Earth Science (2022) Vol. 10
Open Access | Times Cited: 7
A hybrid GBPSO algorithm for permeability estimation using particle size distribution and porosity
Hossein Izadi, Morteza Roostaei, Seyed Abolhassan Hosseini, et al.
Journal of Petroleum Science and Engineering (2022) Vol. 217, pp. 110944-110944
Closed Access | Times Cited: 7
Page 1 - Next Page

Scroll to top